Articles | Volume 12, issue 3
Earth Syst. Sci. Data, 12, 2209–2221, 2020
https://doi.org/10.5194/essd-12-2209-2020
Earth Syst. Sci. Data, 12, 2209–2221, 2020
https://doi.org/10.5194/essd-12-2209-2020
Data description paper
15 Sep 2020
Data description paper | 15 Sep 2020

DSCOVR/EPIC-derived global hourly and daily downward shortwave and photosynthetically active radiation data at 0.1° × 0.1° resolution

Dalei Hao et al.

Viewed

Total article views: 2,638 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,878 707 53 2,638 227 53 61
  • HTML: 1,878
  • PDF: 707
  • XML: 53
  • Total: 2,638
  • Supplement: 227
  • BibTeX: 53
  • EndNote: 61
Views and downloads (calculated since 06 Apr 2020)
Cumulative views and downloads (calculated since 06 Apr 2020)

Viewed (geographical distribution)

Total article views: 2,638 (including HTML, PDF, and XML) Thereof 2,237 with geography defined and 401 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Dec 2022
Download
Short summary
We adopted machine-learning models to generate the first global land products of SW–PAR based on DSCOVR/EPIC data. Our products are consistent with ground-based observations, capture the spatiotemporal patterns well and accurately track substantial diurnal, monthly and seasonal variations in SW–PAR. Our products provide a valuable alternative for solar photovoltaic applications and can be used to improve our understanding of the diurnal cycles of terrestrial water, carbon and energy fluxes.